Perry Ellis · Yotpo
1.4% — conversion rate
Independently reportedRetail & e-commerce · Customer support · NLP · Scaled
Customer support
WEOKIE Federal Credit Union · interface.ai
Vendor-reportedBanking & financeUnited StatesIn productionEnterpriseAI agentsLive 2024
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by interface.ai (vendor self-report). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.
The problem
WEOKIE faced surging call volumes, long wait times, high agent attrition, and the discontinuation of their legacy phone banking system.
What was deployed
- Vendor
- interface.ai
- Products
- Voice AI, Chat AI
- Technique
- AI agents
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Scale
- 64,000+ members; stable team of 17 agents
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
66%Calls automated
“with interface.ai's Voice AI Agent in place, 66% of incoming calls are automated.”
Quoted word for word from the source
less than 30 secondsWait timesfrom 20 to 30 minutes
“Members have gone from waiting 20 to 30 minutes to speak to an agent, to often less than 30 seconds.”
Quoted word for word from the source
over 9,000After-hours calls automatedper month
“In December 2024 alone, the Voice AI handled over 9,000 after-hours calls, ensuring members always had access to assistance, regardless of the time of day.”
Quoted word for word from the source
over $800,000Cost savingsone year
“By reducing the need for additional staffing and improving efficiency, WEOKIE has saved over $800,000 in one year.”
Quoted word for word from the source
significant dropAgent turnover
“As a result, we’ve seen a significant drop in turnover and have built a stable, happy workforce that we don’t need to expand, despite high call volumes.”
Quoted word for word from the source
““Staffing our contact center was a huge challenge. We were constantly losing agents because they were burned out from the stress of high call volume and repetitive tasks. And so when agents left, the remaining team was forced to shoulder an even heavier workload. It was a vicious cycle.””
Difficulties and limits
- Surging call volumes
- Long wait times
- High agent attrition
- Legacy phone system (CUELINE) discontinuation
Sources
- interface.ai — vendor self-report, 2025-03-23
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